Instructions to use ProbLLMs/ProbLLM-DPO-mini-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ProbLLMs/ProbLLM-DPO-mini-4bit with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ProbLLMs/ProbLLM-DPO-mini-4bit", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fae6e14b8a8d80ab33551688de6a8c4b5bed9ce3d6bd44ed0c492fce07f89e62
- Size of remote file:
- 50.4 MB
- SHA256:
- 9f879464dadf77537673aa11f79cbad32d09fd492d77a40a27b207a08975cb86
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